【目的】地位指数法是森林立地质量评价常用的一种方法。采用广义代数差分法建立适用于杉木人工林的动态地位指数模型。【方法】利用福建省将乐县国有林场杉木人工林的24个固定样地连续观测数据和20株杉木优势木树干解析数据,基于Bertalanffy-Richards模型、Lundqvist-Kolf模型和Hossfeld模型3个经典的生长方程,以广义代数差分法对杉木人工林构建了6个动态地位指数模型。模型比较时综合考虑了统计学和生物学特征,通过统计分析和图形分析筛选出最佳的模型。【结果】构建的6个动态地位指数模型都具有良好的拟合优度,调整后的决定系数都在0.9左右。基于Hossfeld 生长方程,选择a=b1+X和b=b2/X作为与立地有关的参数推导的模型确定为最佳模型,推荐采用该模型对将乐县国有林场人工杉木林进行优势树高生长预测和立地质量分类。【结论】广义代数差分法建立的动态地位指数模型具有较好预测性能,说明广义代数差分法在推导地位指数模型时是准确而有效的。在选择最优生长模型时不仅要考虑统计分析,还应该进行图形分析,从而选出满足统计学以及生物学特征的模型。
Abstract
【Objective】Site indexes are commonly used for forest site quality evaluation. This study used a generalized algebraic differential approach(GADA)to develop dynamic site index models for Chinese fir plantations in the Jiangle National Forest Farm in Fujian Province.【Method】Using data of 24 permanent sample plots and by conducting stem analysis of 20 dominant individual trees, dynamic site index models were developed separately from Bertalanffy-Richards, Lundqvist-Kolf, and Hossfeld functions. Among the derived models, the best one was determined by comparing the statistical and biological features.【Result】Six dynamic site index models showed a robust fit with an adjusted coefficient of determination(R2adj)of about 0.9. The Hossfeld model was identified as the best model, in which a=b1+X and b=b2/X were parameters related to the site condition. This model is recommended for dominant tree height prediction and forest site quality evaluation in the studied region.【Conclusion】The method applied in this study is accurate and effective for site index model derivation. It is necessary to consider graphical analysis in addition to statistical indicators when choosing the best growth model in order to satisfy both statistical and biological characteristics.
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基金
基金项目:国家林业局“948”项目(2015-4-31); 林业科技成果国家级推广项目([2014]26)
第一作者:曹元帅(yuanshuai@bjfu.edu.cn)。*通信作者:孙玉军(sunyj@bjfu.edu.cn),教授。